Visualization of Large Ontologies with Landmarks

Zong Lei Jiao, Qiang Liu, Yuan-Fang Li, Kim Marriott, Michael Wybrow

2013

Abstract

Ontologies are building blocks of the Semantic Web and are essential for knowledge representation and data integration. Interactive visualization is an important tool for the understanding of ontologies, especially large ones. In this paper, we present a novel hierarchical ontology visualization method for effectively visualizing an ontology’s global landmarks, local structure and individual class’ details. We have implemented a visualization system that can handle large ontologies efficiently. Preliminary evaluation indicates that the method and the system can be effectively used to understand large ontologies.

References

  1. Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N. F., and Blomqvist, E., editors (2011). The Semantic Web - ISWC 2011 - 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I, volume 7031 of Lecture Notes in Computer Science. Springer.
  2. Ashburner, M., Ball, C. A., Blake, J. A., et al. (2000). Gene Ontology: Tool for the Unification of Biology. Nat Genet, 25(1):25-29.
  3. Baader, F. and Nutt, W. (2003). Basic description logics. In Baader, F., Calvanese, D., McGuinness, D., Nardi, D., and Patel-Schneider, P., editors, The description logic handbook: theory, implementation, and applications, pages 43-95. Cambridge University Press.
  4. Bizer, C., Heath, T., and Berners-Lee, T. (2009). Linked data - The story so far. International Journal on Semantic Web and Information Systems (IJSWIS), 5(3):1-22.
  5. Buchheim, C., Jünger, M., and Leipert, S. (2002). Improving Walker's algorithm to run in linear time. In Graph Drawing, pages 347-364. Springer.
  6. da Silva, I. C. S. and Freitas, C. M. D. S. (2011). Using visualization for exploring relationships between concepts in ontologies. In Proceedings of the 2011 15th International Conference on Information Visualisation (IV'11), pages 317-322. IEEE Computer Society.
  7. Dwyer, T., Koren, Y., and Marriott, K. (2006). Ipsepcola: An incremental procedure for separation constraint layout of graphs. Visualization and Computer Graphics, IEEE Transactions on, 12(5):821-828.
  8. Dwyer, T., Marriott, K., and Wybrow, M. (2008). Dunnart: A constraint-based network diagram authoring tool. In Tollis, I. G. and Patrignani, M., editors, Graph Drawing, volume 5417 of Lecture Notes in Computer Science, pages 420-431. Springer.
  9. Erwig, M. (2003). Xing: A visual xml query language. Journal of Visual Languages & Computing, 14(1):5- 45.
  10. Grau, B. C., Horrocks, I., Motik, B., Parsia, B., PatelSchneider, P., and Sattler, U. (2008). OWL 2: The next step for OWL. Journal of Web Semantics: Science, Services and Agents on the World Wide Web, 6:309-322.
  11. Horrocks, I., Patel-Schneider, P. F., and van Harmelen, F. (2003). From S H I Q and RDF to OWL: The Making of a Web Ontology Language. Journal of Web Semantics, 1(1):7-26.
  12. Howse, J., Stapleton, G., Taylor, K., and Chapman, P. (2011). Visualizing ontologies: A case study. In (Aroyo et al., 2011), pages 257-272.
  13. Katifori, A., Halatsis, C., Lepouras, G., Vassilakis, C., and Giannopoulou, E. G. (2007). Ontology visualization methods - a survey. ACM Comput. Surv., 39(4).
  14. Katifori, A., Torou, E., Halatsis, C., Lepouras, G., and Vassilakis, C. (2006). A Comparative Study of Four Ontology Visualization Techniques in Protégé: Experiment Setup and Preliminary Results. In Information Visualization, 2006. IV 2006. Tenth International Conference on, pages 417 -423.
  15. Lanzenberger, M., Sampson, J., and Rester, M. (2010). Ontology visualization: Tools and techniques for visual representation of semi-structured meta-data. J. UCS, 16(7):1036-1054.
  16. Motta, E., Mulholland, P., Peroni, S., d'Aquin, M., GómezPérez, J. M., Mendez, V., and Zablith, F. (2011). A novel approach to visualizing and navigating ontologies. In (Aroyo et al., 2011), pages 470-486.
  17. Mukherjea, S. and Hara, Y. (1997). Focus+ context views of world-wide web nodes. In Proceedings of the eighth ACM conference on Hypertext, pages 187-196. ACM.
  18. Peroni, S., Motta, E., and d'Aquin, M. (2008). Identifying key concepts in an ontology, through the integration of cognitive principles with statistical and topological measures. In Domingue, J. and Anutariya, C., editors, ASWC, volume 5367 of Lecture Notes in Computer Science, pages 242-256. Springer.
  19. Rogers, J. and Rector, A. (1996). The galen ontology. In Proceedings of Medical Informatics Europe (MIE 96), pages 174-178. IOS Press.
  20. Ruttenberg, A., Rees, J., Samwald, M., and Marshall, M. S. (2009). Life Sciences on the Semantic Web: the Neurocommons and Beyond. Briefings in Bioinformatics, 10(2):193-204.
  21. Smith, B. et al. (2007). The OBO Foundry: Coordinated Evolution of Ontologies to Support Biomedical Data Integration. Nat Biotech, 25(11):1251-1255.
  22. Stearns, M. Q., Price, C., Spackman, K. A., and Wang, A. Y. (2001). SNOMED clinical terms: overview of the development process and project status. In Proc AMIA Symp, pages 662-666, College of American Pathologists, Northfield, IL, USA.
  23. Sugiyama, K., Tagawa, S., and Toda, M. (1981). Methods for visual understanding of hierarchical system structures. IEEE Transactions on Systems, Man, and Cybernetics, 11(2):109-125.
  24. Vercruysse, S., Venkatesan, A., and Kuiper, M. (2012). OLSVis: an animated, interactive visual browser for bio-ontologies. BMC Bioinformatics, 13(1):116+.
  25. Walker, J. Q. (1990). general trees. 20(7):685-705. A node-positioning algorithm for Software Practice and Experience,
  26. Wybrow, M., Marriott, K., and Stuckey, P. (2010). Orthogonal connector routing. In Graph Drawing, pages 219- 231. Springer.
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Paper Citation


in Harvard Style

Jiao Z., Liu Q., Li Y., Marriott K. and Wybrow M. (2013). Visualization of Large Ontologies with Landmarks . In Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013) ISBN 978-989-8565-46-4, pages 461-470. DOI: 10.5220/0004289904610470


in Bibtex Style

@conference{ivapp13,
author={Zong Lei Jiao and Qiang Liu and Yuan-Fang Li and Kim Marriott and Michael Wybrow},
title={Visualization of Large Ontologies with Landmarks},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013)},
year={2013},
pages={461-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004289904610470},
isbn={978-989-8565-46-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2013)
TI - Visualization of Large Ontologies with Landmarks
SN - 978-989-8565-46-4
AU - Jiao Z.
AU - Liu Q.
AU - Li Y.
AU - Marriott K.
AU - Wybrow M.
PY - 2013
SP - 461
EP - 470
DO - 10.5220/0004289904610470